Deep learning based biomedical literature classification using criteria of scientific rigor

Muhammad Afzal; Beom Joo Park; Maqbool Hussain; Sungyoung Lee

doi:10.3390/electronics9081253

Deep learning based biomedical literature classification using criteria of scientific rigor

Muhammad Afzal^*, Beom Joo Park, Maqbool Hussain, Sungyoung Lee^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (SciVal)

Original language	English
Article number	1253
Pages (from-to)	1-12
Number of pages	12
Journal	Electronics (Switzerland)
Volume	9
Issue number	8
DOIs	https://doi.org/10.3390/electronics9081253
Publication status	Published (VoR) - Aug 2020

Funding

Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion)”. In addition, this work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), NRF-2016K1A3A7A03951968, and NRF-2019R1A2C2090504This research received no external funding.

Keywords

Biomedical literature
Deep learning
Evidence-based medicine
Health information management
Healthcare

Access to Document

10.3390/electronics9081253

Cite this

@article{32c710185a52498882173376bd699c5d,

title = "Deep learning based biomedical literature classification using criteria of scientific rigor",

keywords = "Biomedical literature, Deep learning, Evidence-based medicine, Health information management, Healthcare",

author = "Muhammad Afzal and Park, \{Beom Joo\} and Maqbool Hussain and Sungyoung Lee",

note = "Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information \& communications Technology Promotion)”. In addition, this work was supported by Institute for Information \& communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), NRF-2016K1A3A7A03951968, and NRF-2019R1A2C2090504This research received no external funding. Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2020",

month = aug,

doi = "10.3390/electronics9081253",

language = "English",

volume = "9",

pages = "1--12",

journal = "Electronics (Switzerland)",

issn = "2079-9292",

publisher = "MDPI",

number = "8",

}

TY - JOUR

T1 - Deep learning based biomedical literature classification using criteria of scientific rigor

AU - Afzal, Muhammad

AU - Park, Beom Joo

AU - Hussain, Maqbool

AU - Lee, Sungyoung

N1 - Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion)”. In addition, this work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), NRF-2016K1A3A7A03951968, and NRF-2019R1A2C2090504This research received no external funding. Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2020/8

Y1 - 2020/8

KW - Biomedical literature

KW - Deep learning

KW - Evidence-based medicine

KW - Health information management

KW - Healthcare

UR - https://www.scopus.com/pages/publications/85090661042

UR - https://www.scopus.com/inward/citedby.url?scp=85090661042&partnerID=8YFLogxK

U2 - 10.3390/electronics9081253

DO - 10.3390/electronics9081253

M3 - Article

AN - SCOPUS:85090661042

SN - 2079-9292

VL - 9

SP - 1

EP - 12

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

IS - 8

M1 - 1253

ER -

Deep learning based biomedical literature classification using criteria of scientific rigor

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this